"drawing from the experience of Helix Nebula: collaboration between private sector and data providers in the scientific domain.

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1 "drawing from the experience of Helix Nebula: collaboration between private sector and data providers in the scientific domain. ECMWF Workshop on improving the socio-economic impact of NWP data 01 March 2017 Wolfgang Lengert (ESA) This document produced by Members of the Helix Nebula consortium is licensed under a Creative Commons Attribution 3.0 Unported License. Permissions beyond the scope of this license may be available at

2 Addressing the experience of the Helix Nebula the Science Cloud initiative with respect to: the collaboration between private sector and data providers, benefits from this collaboration, advantages for the private sector, the underlying business model of Information as a Service 01/03/2017 Wolfgang Lengert, ESA 2

3 Establish a sustainable multi-tenant cloud computing infrastructure in Europe Initially based on the needs for the European Research Area & space agencies Based on commercial services from multiple IT industry providers Adhere to internationally recognised policies and quality standards Governance structure involving all stakeholders 01/03/2017 Wolfgang Lengert, ESA 3

4 The European cloud public-private partnership Strategic Plan Establish multitenant, multiprovider cloud infrastructure Identify and adopt policies for trust, security and privacy To support the computing capacity needs for the ATLAS experiment Additional Users: Setting up a new service to simplify analysis of large genomes, for a deeper insight into evolution and biodiversity Suppliers To create an Earth Observation platform, focusing on earthquake and volcano research To improve the speed and quality of research for finding surrogate biomarkers based on brain images Create governance structure Define funding schemes Adopters Wolfgang Lengert, ESA

5 Building the hybrid cloud Connecting commercial cloud providers to GÉANT/NRENs ATOS EMBL GEANT Association offering free IP connectivity in GÉANT for research traffic during the pilot phase Interoute REDIris GEANT DFN T-systems NRENs have different commercial agreements (usually they apply a fee) ESA EO sites Various NRENs ESA EO sites SWITCH CERN CloudSigma 01/03/2017 Wolfgang Lengert, ESA 5

6 The Helix Nebula Initiative The Helix Nebula initiative has brought together research organisations, data providers, publicly funded e- infrastructures and European commercial cloud service providers to develop a hybrid cloud model with procurement and governance approaches suitable for the dynamic cloud market Cloud technologies exist but the Integration & Scalability Policy & Governance requires R&D In-house The preferred model for public research organisations is a hybrid cloud that combines inhouse resources with public e-infrastructures and commercial cloud services 01/03/2017 Wolfgang Lengert, ESA 6

7 HN derived business model: Information as a Service: Science interfacing with private sector Content Provider (Research) Satellite data (ESA/Copernicus) Data Customer Information GEO-IT & App Provider (SME) Tools Helix Nebula Ecosystem Customer Customer Lower upfront investment Fast access to EO and other geodata resources Disruptive technology Computing & IT Service Provider (Industry) 01/03/2017 Wolfgang Lengert, ESA Customer Risk and profit sharing Sustainability 7

8 InfoaaS Overall Model Customer uses the information E Service delivery including SLA D INFO aas Service Provider Data into Information service Data retrieval and analysis Data storage including meta data C B A Challenge: Contracting and liability throughout the value chain Satellite and other Data 01/03/2017 Wolfgang Lengert, ESA 8

9 Earth Observation Data to build a value chain from science to business 4 parallel INFOaaS Stimulus project: Prove that InfoaaS in the HNX environment provides sustainable revenues, Analyze the InfoaaS potential to create new jobs addressing modern information sector needs, Analyze and/or demonstrate if existing EC investments (e.g. Copernicus downstream services) can be reused. This project should provide indications how EC funded downstream service projects could become attractive to be picked up in a business environment. To provide evidence that the value adding chain works (price/cost throughout the value creation) Consider cross-domain (space & in-situ) use case developments 01/03/2017 Wolfgang Lengert, ESA 9 9

10 INFOaaS Stimulus examples: Agriculture Hydro-power 01/03/2017 Wolfgang Lengert, ESA 10

11 3 D Nutrient Management (N-Smart) Fertilization as applied Remote Sensing Data (e.g. Copernicus)) In-Situ Probing Crop Growth Monitoring Intersection Meteorology N demand Map Validation Yield Maps Nutrient probing Vegetation Soil Parameters Inputs to Connected Nutrient Management

12 Connected Nutrient Management The added-value (satellite map-overlay approach) Yield Potential Actual Biomass Smart Fertilization (Map Overlay) N in Kg/ha + = Fertilization Strategy Yield Nitrogen applied Net Profit: Revenue N-costs Uniform (conventional) 84.1 dt/ha 246 kg N /ha Map-Overlay Site-specific 87.1 dt/ha 242 kg N /ha +4.5% Yield increase of 3% - 6% could be achieved even on best soils = /ha more net profit Scientifically approved by multi-year research results of the TU Munich (Maidl, 2012)

13 InfoaaS stimulus example: Provision of Hydropower Information Facing the renewable energy challenge Value Chain 2 T-System with IPR from VISTA (SME) HEPTech Academia Meets Industry on Big Data ICT1, Budapest, 31 March

14 InfoaaS stimulus example: Provision of Hydropower Information Facing the renewable energy challenge European Facts Hydroelectric power is the most efficient and planable renewable energy source Around 16 % of Europe s electricity comes from hydroelectric power Annual turnover in the EU in 2011: more than 137 billion Hydroelectric power production is highest in the Northern and Alpine countries Optimizing the design and management of the energy grid as challenge HEPTech Academia Meets Industry on Big Data ICT1, Budapest, 31 March

15 VISTA HydroSense InputDataPortal OPTICAL Satellite Data InputDataPortal SAR Satellite Data Snow Cover SnowWater Equivalent RUNOFF HYDROPOWER HEPTech Academia Meets Industry on Big Data ICT1, Budapest, 31 March

16 VISTA HydroSense InputDataPortal OPTICAL Satellite Data InputDataPortal SAR Satellite Data Snow Cover SnowWater Equivalent RUNOFF HYDROPOWER HEPTech Academia Meets Industry on Big Data ICT1, Budapest, 31 March

17 VISTA HydroSense InputDataPortal OPTICAL Satellite Data InputDataPortal SAR Satellite Data SnowCover SnowWater Equivalent RUNOFF HYDROPOWER HEPTech Academia Meets Industry on Big Data ICT1, Budapest, 31 March

18 VISTA HydroSense InputDataPortal OPTICAL Satellite Data InputDataPortal SAR Satellite Data Snow Cover SnowWater Equivalent RUNOFF HYDROPOWER HEPTech Academia Meets Industry on Big Data ICT1, Budapest, 31 March

19 VISTA HydroSense InputDataPortal OPTICAL Satellite Data InputDataPortal SAR Satellite Data Snow Cover SnowWater Equivalent RUNOFF HYDROPOWER HEPTech Academia Meets Industry on Big Data ICT1, Budapest, 31 March

20 HEPTech Academia Meets Industry on Big Data ICT1, Budapest, 31 March 2015 VISTA HydroSense InputDataPortal OPTICAL Satellite Data InputDataPortal SAR Satellite Data Snow Cover SnowWater Equivalent RUNOFF HYDROPOWER Storage Power Plant River Runoff Power Plant

21 Window of opportunity The workshop is aimed at policy makers and professionals interested in the evolution of the meteorological industries Digital Single Market European Open Science Cloud (EOEC started 2015) Building a Data economy ( (Q4 2016, Q1 2017) General Data Protection Regulation (GDPR) (Regulation (EU) 2016/679) of EU parliament, European Council, EC (Q4 2016, active 2018) 10 R&D agencies are elaborating a new Public Procurement model (CERN lead HNSciCloud.eu - PCP project, open for adopters ) ( 2016; ) GEO collaboration and Copernicus services and uptake 01/03/2017 Wolfgang Lengert, ESA 21

22 summary Building on a common strategy & vision collaboration of R&D, private sector, Public Infrastructure, and support of policy makers/implementers works! (In overall, no common project and budget)! The team of teams has delivered: outcome which is of policy relevance, a concept, building on diversity of data and the associated global community, which is capable to initialize a data ecosystem going cross-domain opening new markets (dynamic creation of value chains using clouds) the confirmation that the R&D, what ever domain they are working in, are all facing the same digital challenge. Teaming-up of such a diversity of R&D agencies is encouraging to think beyond domain borders, at all levels (science, IT, structures, business, ). It supported exploitation of synergies and leveraging. see HNSciCloud.eu where 10 R&D agencies elaborate together a new public procurement model for cloud ecosystems. An enormous momentum at policy level is existing, targeting the transition to a data economy in Europe. European Open Science Cloud, in support for a Digital Single Market General Data Protection Regulation (2016/18) [GDPR] &. EC European Political Strategy Centre ( Step 1: Understanding value creation in the data ecosystem Step 2: Building a data-friendly regulatory framework Step 3: Active public policies to support the digital transition 01/03/2017 Wolfgang Lengert, ESA 22

23 Backup slides Wolfgang Lengert, ESA 23

24 The workshop is aimed at policy makers and professionals interested in the evolution of the meteorological industries. Maryline Lengert, ESA 24

25 Wolfgang Lengert, ESA 25

26 What is the European Open Science Cloud? Hybrid link public research organisations, e-infrastructures & commercial cloud services Use GEANT network to link Research Infrastructures, repositories (EUDAT, OpenAIRE), EGI, PRACE etc. to commodity commercial cloud services (multiple providers) A cornerstone of the Open Science Commons* Trust - Researchers keep control of the cloud and their data Guarantee a copy of all the data is kept on public resources Ensure long-term preservation of the data Insulate users from changes of service supplier and technology Economy - Must be cheaper than the build our own approach Avoid separate silos for each Research Infrastructure/Community Profit from the economies of scale in commercial data centres * /01/2016 Maryline Lengert, ESA 26

27 Why a European Open Science Cloud? Europe s researchers have access to super-fast networks, common data storage facilities, and shared computing resources. The challenge now is to link them all together into a single science cloud. Mature open source technologies exist but integration, policy and governance requires careful attention A European Open Science Cloud will promote public-private innovation to satisfy the needs of the research communities and increase the global competitiveness of European ICT providers 20/01/2016 Maryline Lengert, ESA 27

28 HNSciCloud Joint Pre-Commercial Procurement Procurers: CERN, CNRS, DESY, EMBL-EBI, ESRF, IFAE, INFN, KIT, STFC, SURFSara Experts: Trust-IT & EGI.eu The group of procurers have committed Procurement funds Manpower for testing/evaluation Use-cases with applications & data In-house IT resources To procure innovative IaaS level cloud services integrated into a hybrid cloud model with Data centres operated by the procurers European e-infrastructures Resulting services will be made available to endusers from many research communities Co-funded via H2020 Grant Agreement Total procurement budget >5M Bob Jones, CERN 28

29 Pre-Commercial Procurement Process and Timeline 3/4/

30 PICSE PROCUREMENT INNOVATION FOR CLOUD SERVICES IN EUROPE Cloud services are suitable for scientific workloads performed by public research organisations and they are now prepared to consider procuring commercial cloud services on a significant scale. Public research organizations have experience of cross-border procurements The cloud service suppliers within Helix Nebula, have developed a set of draft contractual agreements for an initial procurement of IaaS services with multiple suppliers via a broker-based model. Research organisations are working to ensure that the draft contract agreements conform to their independent procurement processes. Preparation of a crossborder PCP or PPI for at least one shared common procurement need. 20/01/2016 Maryline Lengert, ESA 30